On-the-fly processing of continuous data streams with a pipeline of microprocessors

S. Berkovich, Z. Kitov, A. Meltzer
{"title":"On-the-fly processing of continuous data streams with a pipeline of microprocessors","authors":"S. Berkovich, Z. Kitov, A. Meltzer","doi":"10.1109/PARBSE.1990.77182","DOIUrl":null,"url":null,"abstract":"A pipeline of microprocessors which is able to perform substantial on-the-fly transformations with large amounts of data has been developed. The general concept is a pipelined structure for associative processing. This structure is based on the use of a long sequence (pipeline) of identical, relatively simple associative pattern matching/transforming elements. The associative pipeline achieves high performance for relatively small algorithms with a large volume of data and so is well suited for use with very large databases. The effectiveness of the developed pipeline has been analyzed for various database applications. This system can implement basic operations of relational algebra, as well as rather sophisticated filtering functions; in particular, it can be used to control the I/O operations for the purpose of computer security.<<ETX>>","PeriodicalId":389644,"journal":{"name":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARBSE.1990.77182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

A pipeline of microprocessors which is able to perform substantial on-the-fly transformations with large amounts of data has been developed. The general concept is a pipelined structure for associative processing. This structure is based on the use of a long sequence (pipeline) of identical, relatively simple associative pattern matching/transforming elements. The associative pipeline achieves high performance for relatively small algorithms with a large volume of data and so is well suited for use with very large databases. The effectiveness of the developed pipeline has been analyzed for various database applications. This system can implement basic operations of relational algebra, as well as rather sophisticated filtering functions; in particular, it can be used to control the I/O operations for the purpose of computer security.<>
用微处理器流水线对连续数据流进行实时处理
一种能够对大量数据进行实时转换的微处理器流水线已经被开发出来。一般概念是用于关联处理的流水线结构。这种结构基于使用相同的、相对简单的关联模式匹配/转换元素的长序列(管道)。关联管道对于具有大量数据的相对较小的算法实现了高性能,因此非常适合用于非常大的数据库。对所开发的流水线在各种数据库应用中的有效性进行了分析。该系统可以实现关系代数的基本运算,也可以实现相当复杂的过滤功能;特别是,它可以用来控制I/O操作,以达到计算机安全的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信